Triple
T404659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hermes |
E9357
|
entity |
| Predicate | parents |
P7318
|
FINISHED |
| Object | Maia |
E9356
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Maia | Statement: [Hermes, parents, Maia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maia Context triple: [Hermes, parents, Maia]
-
A.
Maia
chosen
Maia is a figure from Greek mythology, one of the Pleiades and the mother of the god Hermes.
-
B.
Timothea
Timothea is a feminine given name derived from the name Timothy, often interpreted to mean "honoring God."
-
C.
Sophia
Sophia of the Palatinate was a 17th-century German princess and Electress of Hanover, best known as the mother of King George I of Great Britain and a key figure in the Protestant succession to the British throne.
-
D.
Loralai
Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
-
E.
Luna
Luna is the natural satellite of Earth, renowned for its phases, influence on tides, and prominence in human culture and mythology.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eca37fe881909802126952dfdd59 |
completed | Feb. 28, 2026, 1:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a457fba1d08190a8eb41271b59a693 |
completed | March 1, 2026, 3:15 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.